Real-time, automated cost optimization for Amazon EMR and Amazon EKS with no manual tuning, no recommendations, and no application code changes.
Run more work per node. Deploy fewer nodes.
Pepperdata intelligently increases resource utilization by evaluating actual instead of allocated resource utilization
Pepperdata ensures new instances are added only when existing instances are fully utilized
Pepperdata instructs the scheduler to remove capacity from overprovisioned applications
You’re probably optimizing your platform infrastructure with a variety of techniques, but there’s still waste inherent in your applications. Pepperdata’s Continuous Intelligent Tuning fixes that for you automatically.
*Statistics captured from our TPC-DS Benchmark
*Metrics from TPC-DS Pepperdata on Amazon EMR Benchmark 2021 (for 157%, 38%); TPC-DS Pepperdata on Amazon EKS Benchmark 2022 (for 35%) based on 1 TB dataset, 30 nodes, 225 executors, 103 jobs. TPC-DS is the Decision Support framework from the Transaction Processing Performance Council. TPC-DS is an industry-standard big data analytics benchmark. Pepperdata’s work is not an official audited benchmark as defined by TPC.
Know exactly where and how your money is being spent in all of your cloud workloads to immediately reduce your spend.
Pepperdata uses Machine Learning to optimize your spend so you pay only for the resources you actually use.
Pepperdata automates application tuning in real time so your workloads are maintained in their optimal sweet spot continuously and autonomously.
Enterprise Cloud Cost Management
Cloud Management and Cloud Cost Management
Cloud Cost Management
Looking for a safe, proven method to reduce waste and cost by up to 47% and maximize value for your cloud environment? Sign up now for a free waste assessment to see how Pepperdata Capacity Optimizer Next Gen can help you start saving immediately.